| Value |
Category |
| 1 |
dodoma |
| 2 |
arusha |
| 3 |
kilimanjaro |
| 4 |
tanga |
| 5 |
morogoro |
| 6 |
pwani |
| 7 |
DAR ES SALAAM |
| 8 |
lindi |
| 9 |
mtwara |
| 10 |
ruvuma |
| 11 |
iringa |
| 12 |
mbeya |
| 13 |
singida |
| 14 |
tabora |
| 15 |
rukwa |
| 16 |
kigoma |
| 17 |
shinyanga |
| 18 |
kagera |
| 19 |
mwanza |
| 20 |
mara |
| 21 |
manyara |
| 22 |
njombe |
| 23 |
katavi |
| 24 |
simiyu |
| 25 |
geita |
| 51 |
KASKAZINI UNGUJA |
| 52 |
KUSINI UNGUJA |
| 53 |
MJINI/MAGHARIBI UNGUJA |
| 54 |
KASKAZINI PEMBA |
| 55 |
KUSINI PEMBA |
| 61 |
usa |
| 62 |
uk |
| 63 |
uae |
| 64 |
SOUTH AFRICA |
| 65 |
japan |
| 66 |
india |
| 67 |
kenya |
| 68 |
uganda |
| 69 |
germany |
| 70 |
canada |
| 71 |
OTHER (SPECIFY) |
| Sysmiss |
|
Warning: these figures indicate the number of cases found in the data file. They cannot be interpreted as summary statistics of the population of interest.